Velliangiri, S., Pandiaraj, S., S, I.T.J. und Muthubalaji, S. (2022) „Multiclass recognition of AD neurological diseases using a bag of deep reduced features coupled with gradient descent optimized twin support vector machine classifier for early diagnosis.“, Concurrency & Computation: Practice & Experience, 34(21), S. 1-16. doi:10.1002/cpe.7099.

Velliangiri, S., Shanthini Pandiaraj, Iwin Thanakumar Joseph S, und S. Muthubalaji. „Multiclass Recognition of AD Neurological Diseases Using a Bag of Deep Reduced Features Coupled With Gradient Descent Optimized Twin Support Vector Machine Classifier for Early Diagnosis.“. Concurrency & Computation: Practice & Experience 34, Nr. 21 (25. September 2022): 1-16. https://doi.org/10.1002/cpe.7099.

Velliangiri, S., Pandiaraj, S., S, I. T. J., & Muthubalaji, S. (2022). Multiclass recognition of AD neurological diseases using a bag of deep reduced features coupled with gradient descent optimized twin support vector machine classifier for early diagnosis. Concurrency & Computation: Practice & Experience, 34(21), 1-16. https://doi.org/10.1002/cpe.7099

Velliangiri, S., S. Pandiaraj, I. T. J. S, und S. Muthubalaji. „Multiclass Recognition of AD Neurological Diseases Using a Bag of Deep Reduced Features Coupled With Gradient Descent Optimized Twin Support Vector Machine Classifier for Early Diagnosis.“. Concurrency & Computation: Practice & Experience, Bd. 34, Nr. 21, September 2022, S. 1-16, https://doi.org/10.1002/cpe.7099.

VELLIANGIRI, S., Shanthini PANDIARAJ, Iwin Thanakumar Joseph S und S. MUTHUBALAJI, 2022. Multiclass recognition of AD neurological diseases using a bag of deep reduced features coupled with gradient descent optimized twin support vector machine classifier for early diagnosis. Concurrency & Computation: Practice & Experience. 25 September 2022. Bd. 34, Nr. 21, S. 1-16. DOI 10.1002/cpe.7099